Huayi Zhan

Papers

Total Citations

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About

Huayi Zhan’s research lies at the intersection of computer vision, unmanned aerial systems, and intelligent control, with a particular focus on enabling robust, real-time outdoor target tracking for UAVs. In his most cited work, Zhan developed an integrated framework combining the Kernelized Correlation Filter (KCF) with face recognition algorithms, addressing the critical challenge of maintaining tracking accuracy under dynamic outdoor conditions. His approach not only improved the real-time performance of UAV tracking systems but also enhanced their ability to reliably identify and follow human targets. This contribution is especially significant for applications in surveillance, search-and-rescue, and autonomous navigation. With over 3 citations on his key paper, Zhan’s work has been recognized as a practical step toward bridging the gap between advanced computer vision techniques and the stringent computational constraints of aerial platforms. His research continues to influence the design of lightweight, efficient tracking systems that balance speed and precision—a vital requirement for next-generation autonomous drones operating in complex, unstructured environments.